Teaching
I teach and support courses in statistics, probability, statistical computing, Bayesian inference, and data visualization at UC Santa Cruz. This page collects selected public course materials and departmental teaching resources.
Teaching Infrastructure
UCSC Statistics TA Resources
I co-maintain the UCSC Statistics TA Resources wiki, a public departmental guide for TA responsibilities, teaching practices, course logistics, and practical support for discussion sections and office hours.
CSE 107: Probability and Statistics for Engineers
A calculus-based introduction to probability models, random variables, statistical reasoning, and elementary stochastic processes, with examples from computing and engineering.
Course Information
Lecture Slides
- Module 00: Opening Week
- Module 01: Counting and Conditioning
- Module 02: Discrete Random Variables
- Module 03: Expectation and Midterm 1
- Module 04: Variance and Joint Discrete Laws
- Module 05: Continuous Random Variables
- Module 06: Conditioning, Covariance, and Transformations
- Module 07: Bounds, the Weak Law, and Review
- Module 08: The Central Limit Theorem
- Module 09: Estimation and Poisson Models
- Module 10: Poisson Processes, Markov Chains, and Review
STAT 7L: Statistical Methods for the Biological, Environmental, and Health Sciences Laboratory
A five-week laboratory course in reproducible statistical computing with R and Google Colab, spanning study design and descriptive statistics through probability, inference, association, and regression.
Course Information
Lab 0: Course and Technology Orientation
Lab 1: Data, Study Design, and Descriptive Statistics
Lab 2: Probability and Discrete Random Variables
Lab 3: Normal and Sampling Distributions
Lab 4: Confidence Intervals and One-Parameter Tests
Lab 5: Multiple Samples, Association, and Modeling
STAT 131: Probability Theory
Selected probability review materials, distribution summaries, and worked topical notes prepared for discussion sections and exam review.
STAT 131: Probability Theory - Spring 2026 Section Materials
Curated section slides and review notes prepared for STAT 131. These materials are kept separate from the broader STAT 131 review archive.
Lecture Slides
Discussion Sections
Review Materials
STAT 132: Classical and Bayesian Inference
Selected Bayesian inference notes, problem sets, and interactive notebooks used to support lectures and review sessions.
STAT 5: Statistics
Introductory statistics review materials focused on exam preparation and core course concepts.
Additional Materials
This page lists selected public teaching resources. Assessment solutions and restricted course materials are not included here unless they are approved for public release.